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ROOLIFE GROUP LTD Investor Presentation 2017

Mar 8, 2017

65712_rns_2017-03-08_9399fa29-79af-46ed-b62f-ebd4d63e0595.pdf

Investor Presentation

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PERSONALIZATION | ARTIFICIAL INTELLIGENCE

INVESTOR UPDATE

March 2017

Australia | Singapore | South Africa | United Kingdom | USA

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Disclaimer

Nature of this document: The purpose of this presentation is to provide general information about OpenDNA Limited (the ‘Company’). Unless otherwise stated herein, the information in this presentation is based on the Company’s own information and estimates. In attending this presentation or viewing this document you agree to be bound by the following terms and conditions.

Not an offer: This presentation is for information purposes only and does not constitute or form any part of any offer or invitation to sell or issue, or any solicitation of any offer to purchase or subscribe for, any securities in the Company in any jurisdiction. This presentation and its contents must not be distributed, transmitted or viewed by any person in any jurisdiction where the distribution, transmission or viewing of this document would be unlawful under the securities or other laws of that or any other jurisdiction.

Not financial product advice: This presentation does not take into account the individual investment objectives, financial situation and particular needs of each of the Company’s Shareholders. You may wish to seek independent financial and taxation advice before making any decision in respect of this presentation. Neither the Company nor any of its related bodies corporate is licensed to provide financial product advice in respect of the Company’s securities or any other financial products.

Forward-looking statements: Certain statements in the presentation are or may be “forward-looking statements” and represent the Company’s intentions, projections, expectations or beliefs concerning, among other things, future operating and exploration results or the Company’s future performance. These forward looking statements speak, and the presentation generally speaks, only at the date hereof. The projections, estimates and beliefs contained in such forward looking statements necessarily involve known and unknown risks and uncertainties, and are necessarily based on assumptions, which may cause the Company’s actual performance and results in future periods to differ materially from any express or implied estimates or projections.

Disclaimer: No representation or warranty, express or implied, is made by the Company that the material contained in this presentation will be achieved or prove to be correct. Except for statutory liability which cannot be excluded, each of the Company, its directors, officers, employees, advisers and agents expressly disclaims any responsibility for the accuracy, fairness, sufficiency or completeness of the material contained in this presentation, or any opinions or beliefs contained in this document, and excludes all liability whatsoever (including in negligence) for any loss or damage which may be suffered by any person as a consequence of any information in this presentation or any error or omission there from. The Company is under no obligation to update or keep current the information contained in this presentation or to correct any inaccuracy or omission which may become apparent, or to furnish any person with any further information. Any opinions expressed in the presentation are subject to change without notice.

Unverified information: This presentation may contain information (including information derived from publicly available sources) that has not been independently verified by the Company.

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CORPORATE OVERVIEW

CORPORATE SNAPSHOT MAJOR SHAREHOLDERS % OWNERSHIP
ASX Code OPN MR JAY SHAH 25.35 %
Cash (as at 31 December, 2016) A$6.8 million NVFAM INVESTMENTS PTY LTD 7.14 %
Market Cap (at $0.14 / share) A$14.7 million MR STEWART WILKINSON 6.06 %
52 week high ($ / share) $0.20 CDC PROSSER PTY LTD 4.76 %
52 week low ($ / share) $0.135 MR JOHN ZACCARIA + MS NOELEE 4.52 %
Shares on issue 105,083,540 MR GEORGE IRWIN 3.95 %

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INVESTMENT HIGHLIGHTS

OPERATIONAL & TECHNICAL IMPROVEMENTS

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  • Since listing in November 2016, OpenDNA has continued to focus on driving operational and technical improvements

  • Technology updates now allow businesses to integrate OpenDNA’s Artificial Intelligence platform into iOS (Apple), Android (Google) and Web systems

CUSTOMER CONTRACTS

  • Building on existing customer base a n d c h a n n e l p a r t n e r s h i p arrangements

  • Strong prospect pipeline expected to materialize into new client contracts in Q2 2017

HUGE ADDRESSABLE MARKET OPPORTUNITY

• According to Juniper Research, the global digital advertising industry was worth circa US$160 billion in 2016, and expected to reach US$285 billion by 2020. This represents only ONE of the market segments upon which OpenDNA is focused, currently.

CLOUD BASED BUSINESS MODEL

  • Built for scale and deployed on the Amazon Web Services cloud architecture allowing OpenDNA to grow exponentially rapidly

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OUR VISION

PEOPLE ARE NOT CATEGORIES.

PEOPLE ARE INDIVIDUALS.

To businesses , OpenDNA provides real-time insights into their individual customers’ behaviour which allows them to better predict their needs.

This enables businesses to deliver a more relevant customer experience at an individual level, which drives increased revenue.

OpenDNA’s artificial intelligence and machine-learning system automatically creates detailed psychographic user profiles, which helps deliver better business outcomes.

To individuals it paves the way to own their data and control their experiences across the internet making it more relevant; more personalised.

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THE OPENDNA SOLUTION

HOW DOES THE TECHNOLOGY WORK?

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When a user uses an OpenDNApowered platform (Web or Mobile) the Artificial Intelligence System (AIS) analyses their interactions in real-time and builds a detailed psychographic profile.

OpenDNA’s AIS in real-time analyses a business data stream (products, news, ads, videos etc.) and builds a unique contextual profile.

OpenDNA in real-time provides the user with relevant content automatically tailored to the user’s profile from the business (products, news, ads, videos, etc.) that drives better business outcomes.

Users have complete control and transparency of data on their interests, allowing them to edit t h e m a n d i n fl u e n c e t h e i r personalised experiences in realtime.

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WHAT ARE THE OPENDNA BENEFITS?

HOW DOES IT BENEFIT BUSINESSES?

BETTER INSIGHTS

By building real-time user ’s psychographic profiles businesses are able to better predict customer’s needs and interests.

INCREASED REVENUE

Providing relevant content, increases user engagement and dwell time which in turn increases the amount of revenue opportunities per user.

INCREASED RETENTION

Customers are more likely to engage and return due to the relevant content, and the customer experience.

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HOW DOES IT BENEFIT THE USER?

The overall online and mobile experience is improved, with relevant content (products, news, ads, videos, etc.) being delivered to the user.

End-users now have the opportunity to own, see and control their data, which in turn allows them to edit their interests in real-time so they are able to influence what they receive online.

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WHY WOULD BUSINESSES USE OPENDNA?

RETENTION

By providing customers with personalised and relevant experiences on their platforms, businesses are able to retain customers for longer periods of time.

REDUCE COSTS

Businesses are able to reduce bigdata analysis and infrastructure costs by leveraging off OpenDNA’s AIS.

USER ACQUISITION

Businesses are able to better profile, target and engage their customers.

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INCREASE REVENUE

Businesses get a better ROI by personalising experiences for its customers.

BUSINESS INTELLIGENCE / DATA ANALYTICS

OpenDNA provides businesses with a deeper understanding of their customers’ interest profiles and their propensity to engage with any new content.

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MARKET DEMAND FOR PERSONALISATION

Over 1.5M+ apps available on Apple®, Android® and Amazon Appstore®, and over 40,000+ apps launch on a monthly basis with no context of their user’s preferences for proper on-boarding.

Personalization can deliver five to eight times the ROI on marketing spend and lift sales 10% or more. Source: McKinsey & Company

94% of companies agree that personalization“is critical to current and future success.” Source: Econsultancy

In 2018, B2B companies who personalize their sites will be doing 30% better than those without personalization. Source: Gartner

Organizations who are personalizing their web experiences see, on average, a 19% uplift in sales. Source: Monetate

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Forty percent (40%) of consumers buy more from retailers who personalize the shopping experience across channels. Source: MyBuys

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HOW DOES PERSONALISATION WORK?

Personalisation revolves around capturing the contextual situation of users and allowing services to predict and respond to needs, often without users having to request them explicitly.

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SYSTEM REACTS & ITERATES, BASED ON USER REACTION Based on the user’s reaction, the system provides information or functionality, logs trigger conditions and data for the contextual database and adjusts the predictive intent model another iteration.

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ACCUMULATES CONTEXTUAL & HISTORIC DATA

Identity Location Time Activity Historic Data

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PROCESSES INFORMATION

A predictive model sifts, correlates and augments data drawn from contextual & historic data

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ENGAGES USER

Device / interface engages the user in conversation

DETERMINES BEST NEXT STEPS

The model generates best next steps for the user

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SNAPSHOT OF A USER’S DATA

OpenDNA maps a user’s interests and learns about the extent of interest that they may have in any area. This is highly contextualized and relevant to that specific user.

PSYCHOGRAPHIC DATA

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Joe Blog
[email protected]
Male
29
Los Angeles, California
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TIME-RELATED PATTERNS

7:30AM

Political News, Immigration issues Weather, Los Angeles

12:00PM

Sport News, Golf, PGA Tour

9:00PM

Podcast: Hubblecast (Science & Tech)

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Anthony Hopkins 21
Action Figures 21
Art and Entertainment 21
Brian Co 21
Donald Trump 80
Goodfellas 21
Gun Control 98
Golf 81
IMDB 126
Immigration 119
Los Angeles 67
Maise Williams 102
Martin Scorsese 21
Movies 123
Movies & TV 21
PGA Tour 21
Podcasts 112
Propertywire 79
Quentin Tarantino 181
Science Fiction 21
Space & Astronomy 190
Space Technology 109
Spacestation 170
Steven Spielberg 165
Toys 87
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HOW OPENDNA IS USED ACROSS INDUSTRY

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PUBLISHING

  • Customizing news content

  • Personalising ad content to users’ interests in real-time

COMMERCE

  • Tailoring shopping experiences to customers’ exact preferences and interests

  • Increasing conversion rates by targeting users on their global interest profile

TRAVEL

  • Segmentation and personalisation of travel content, that reflects where the individual is on the research, plan, booking, and pre-trip experience

  • Presenting information and products, based on their latest global interest profile

ENTERTAINMENT

  • Personalising viewing experiences based on a user’s global interest profile

HEALTH & FITNESS

  • T h e b i g g e s t o p p o r t u n i t y i n personalised health care lies in identifying new products, services & information targeted directly to consumers

FINANCE

  • Personalisation to improve customer satisfaction, a primary driver of loyalty

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DRIVING REVENUE

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USER LICENSE FEES
+
5,000 users $499
2.5M+ users $7k+
10M+ users $18k+
charged monthly
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OPENDNA CONNECTION CHARGES Fee per user session

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$0.0045 / session
or
Revenue share
Reviewed on a case by case basis
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DRIVING REVENUE

HOW PUBLISHERS CAN BENEFIT FROM OPENDNA

Without
OpenDNA
With OpenDNA Without
OpenDNA
With OpenDNA
Number of Users 1,000,000 1,000,000 5,000,000 5,000,000
Monthly Active Users 350,000 400,000 1,750,000 2,000,000
Average Number of Pages Viewed Per
User Per Day
2 6 2 6
Average Revenue Per Thousand Ad
Impressions* (Ad Impression = Each
Time Ad is displayed)
$2.50 $2.50 $2.50 $2.50
Publisher Revenues Per Month $7,875 $27,000 $39,375 $135,000

Publishers generate revenue through advertising and in some instances via product placements.

The key drivers for revenue for publishers is page views (i.e. the number of pages of content read by their users).

*The above figures are an example of what ad networks could pay out to publishers. The prices can range from $0.10 to $50 per thousand impressions.

The higher the page views numbers the more revenue that they can make.

REVENUES AVAILABLE TO OPENDNA

REVENUES AVAILABLE TO OPENDNA
With OpenDNA With OpenDNA
Number of Users 1,000,000 5,000,000
OpenDNA User License Fee* $4,319 $11,499
Total Pages Viewed 6,000,000 30,000,000
Avg. OpenDNA Page View Charges (Based on Session Charges)* $7,000 $30,000
OpenDNA Share of Ad Revenue (minimum 5% of publisher
revenue)*
$1,350 $6,750
TOTAL REVENUE PER MONTH FOR OPENDNA* $12,669 $48,249
TOTAL REVENUE PER YEAR FOR OPENDNA* $152,028 $578,988

Secondly, by knowing more about their readers and being able to access their psychographic profiles, publishers can demand higher revenue shares from ad networks as they can better target the customers.

OpenDNA provides publishers the key to unlocking higher engagement time and increased revenue.

*The above figures are an example of what can happen when customers power their systems with OpenDNA and also allow OpenDNA to run the ads on their network.

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NEAR TERM CATALYSTS

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Integration of personalised advertising content across OpenDNA-powered platforms in Q2 2017 to drive advertisingbased revenue streams.

Robust sales pipeline Q2 2017; targeting increased client sign ups and operational developments.

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Targeting rapid expansion of global customer base – focused on near-term penetration of key sectors including publishing, travel and E-commerce.

Leveraging of strategic Channel Partnerships – these companies act as non-exclusive agents to market and sell the OpenDNA platform to their respective clients.

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Recent signing of MediaFuse partnership represents a key step towards the monetisation of OpenDNA’s digital platforms, with the ability to generate advertising revenue a significant near-term catalyst for the business.

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BOARD & MANAGEMENT

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Jay Shah – MD & Chief Executive Officer

Jay is a technology visionary and the designer behind OpenDNA’s AI technology. He brings 20 years of serial entrepreneurship having founded numerous technology companies and building world-class teams.

Lonnie Sciambi – Non-Executive Director

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Lonnie is the MD and CEO of Small Business Force, LLC, through which he advises entrepreneurs and small businesses. He brings over 30 years of high-tech experience in both startup and public companies.

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Richard Jarvis - Chief Financial Officer

Richard has twenty years’ experience gained both in public practice and in senior finance leadership roles.

Grant Pestell - Non-Executive Chairman

Grant is a founding director of Murcia Pestell Hillard and has 20 years’ experience in commercial litigation and corporate and commercial law. He has helped numerous startups scale successfully in the high-tech space.

Evan Cross – Non-Executive Director

Evan has over 30 years’ experience in the accounting, finance and investment banking industries and as a business founder.

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CONTACT US

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Australia

New York

Silicon Valley, CA

Ph: +61 8 6444 1702 Suite 183, Level 6, 580 Hay Street Perth WA 6000

Ph: +1 (347) 220 8346 733 Third Avenue, 15th Floor, New York, NY 10017

Ph: +1 (408) 833 7013 1565 The Alameda San Jose, CA 95126

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South Africa

Singapore

Ph: +65 3159 1381

Ph: +27 21 974 6100 39, Carl Cronje Dr, Tyger Valley, Cape Town, 7530

1 George St, 10th Floor Singapore, 049145

O P E N D N A

T M

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PEOPLE ARE NOT CATEGORIES PEOPLE ARE INDIVIDUALS

opendna.ai [email protected]

Australia | Singapore | South Africa | United Kingdom | USA

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